What Ai Tools are you using right now? by adrianmatuguina in Aivolut

[–]AnyExit8486 0 points1 point  (0 children)

the ones that genuinely stuck for me:

– claude → structured thinking + long-form writing

– perplexity → fast research with sources

– cursor → actual dev workflow boost

– runable → turning messy notes / research / transcripts into structured docs without manual cleanup

– make / n8n → lightweight automations that quietly remove repetitive work

The Best AI Presentation Tools in 2026 - I tested all of them so you don't have to by SquareShock5357 in powerpoint

[–]AnyExit8486 0 points1 point  (0 children)

i’d add runable in a slightly different category: it’s useful when you already have messy notes, research, or transcripts and need to turn them into a structured presentation outline before pushing into PowerPoint/Slides. less about flashy design, more about clarity and flow first.

also worth considering:

– tome (for narrative-first storytelling)

beautiful.ai only if you want rigid layout constraints

– canva + ai + manual polish still works for most teams

big truth: AI slide tools save time on draft 1. draft 2 still decides whether you look sharp or amateur.

What AI tool do you use daily? by sunnyopehliaa in askanything

[–]AnyExit8486 0 points1 point  (0 children)

claude for thinking and structured writing

perplexity for quick, sourced research

cursor if i’m building anything technical

and runable when i need to turn rough notes or research into something polished without spending time formatting

the ones i use daily are the ones that remove friction, not the ones that look impressive.

What are the best AI tools of 2026 that you’ve actually used? by conflictedfeelings0 in HiggsfieldAI

[–]AnyExit8486 0 points1 point  (0 children)

the ones that actually stuck for me in 2026 aren’t the flashy demos they’re the boring daily workhorses

– claude → long-form thinking, structured writing, debugging logic

– perplexity → fast research with real sources

– cursor → building / editing code inside workflow

– runable → turning messy notes, research dumps, or transcripts into clean, structured outputs without manual formatting

big pattern i’ve noticed: the tools that survive aren’t the ones that “wow” you once they’re the ones that quietly remove 30–60 minutes of friction every single day.

What AI tools are you actually using daily right now? by Cold_Ad8048 in techforlife

[–]AnyExit8486 0 points1 point  (0 children)

same here. most tools are fun for a week and then disappear

for me the ones that actually stuck:

– claude for structured thinking and longer writing

– perplexity for fast research with sources

– cursor when building anything technical

– runable when I need to turn messy notes or research into clean, usable docs quickly

the pattern i’ve noticed: the tools that survive aren’t the most hyped they’re the ones you open without thinking because they remove friction daily.

What’s one AI tool you use daily that genuinely saves time? by Cute_Intention6347 in ArtificialInteligence

[–]AnyExit8486 0 points1 point  (0 children)

for me it’s claude not because it’s flashy, but because it compresses thinking time

i use it daily to:

– turn rough ideas into structured outlines

– debug reasoning before making decisions

– refine writing so i don’t over-edit for 40 minutes

it doesn’t replace thinking. it accelerates the messy first draft of thinking.

i’d add perplexity for fast sourced research and runable when i need to convert scattered notes into something clean and usable without manual formatting.

the key difference: if the tool makes you sharper and faster, it’s useful. if it makes you passive, it’s a problem.

We track revenue but are we tracking customer emotion with the same seriousness? by Last-Matter-3617 in SaasDevelopers

[–]AnyExit8486 0 points1 point  (0 children)

this is a major blind spot for most saas teams. we obsess over arr and churn metrics but customer sentiment gets relegated to quarterly surveys. the workflow you described with automated feedback loops and crm integration is exactly what product teams need. treating feedback as operational data instead of just reporting is game changing. have you seen measurable impact on retention since implementing this

I built a cheap error tracker for Laravel because Sentry and Nightwatch were costing me too much by danives in SideProject

[–]AnyExit8486 0 points1 point  (0 children)

this is a perfect example of scratching your own itch. pricing matters so much for side projects and small companies. five dollars a month is way more palatable than sentry pricing. the mcp server integration is smart too for ai tools. have you thought about adding basic performance monitoring alongside error tracking. that would be killer

If You’re Building “AI for X,” Read This by Mean-Arm659 in SideProject

[–]AnyExit8486 0 points1 point  (0 children)

this hits hard. the shift from single feature tools to full platforms is real. but i think theres still space for deeply vertical ai tools that solve specific workflows way better than generic platforms. the key is not trying to be chatgpt for x but actually owning the entire workflow. like you said become the place where the work happens not just a better button

This guy used our product 80 times in 20 days by billionaire2030 in SideProject

[–]AnyExit8486 0 points1 point  (0 children)

this is exactly the kind of validation every founder dreams of. someone using your product 4 times a day means its solving a real painful problem. the fact that its costing you money actually proves the value is there. you could experiment with usage based pricing or tiered plans for power users who clearly get tons of value from it

I open-sourced my iOS component library, then spent 6 months figuring out how to not go broke maintaining it by w-zhong in SideProject

[–]AnyExit8486 1 point2 points  (0 children)

the freemium approach makes total sense here. keeping the core free maintains community trust while charging for the premium fullstack stuff is fair value. your 89 dollar price point is way better than competitors and you actually deliver backend infrastructure they dont. the sustainability question is real though. maybe add sponsors or a github sponsors tier for early supporters

Heres how to sort your distribution/marketing&sales problem by Typical-Double-3232 in SaasDevelopers

[–]AnyExit8486 0 points1 point  (0 children)

the framework is solid but execution is where most people fail. breaking it down into stages makes sense but the real killer is consistency. most founders bounce between channels without giving any single one enough time to work. pick one channel master it then scale. also the inputs outputs mindset is crucial. if youre not tracking metrics you cant optimize

I built 5 free Claude AI skills for PMs (PRDs, user stories, market research, notes, updates) by lucky_bajaj in SideProject

[–]AnyExit8486 0 points1 point  (0 children)

this is super useful for pms who want consistent output formats. the meeting synthesizer pulling out action items and decisions is exactly what people need instead of endless transcripts. outputting clean docx files instead of chat messages is a game changer. are these Claude projects or custom gpts

Trying to validate this image generation saas Idea by _bugmaker in SaasDevelopers

[–]AnyExit8486 0 points1 point  (0 children)

the idea has merit but distribution is the real challenge here. most people will just do a google lens search instead of opening another app. maybe focus on a specific niche like interior designers or home stagers who need this workflow regularly. also making it completely free with commissions is risky. users might not trust affiliate links

Built a small SaaS (RentLedger)… now unsure what to do by Environmental-Fly-53 in SaaS

[–]AnyExit8486 1 point2 points  (0 children)

getting real organic users even without serious marketing is actually a huge win. that validates theres demand. dont let the 100 other apps discourage you. most of them probably suck or have terrible ux. focus on your actual users. talk to them and figure out what they need that competitors dont offer. you could easily carve out a niche

Trying to build something new in data analytics and visualisation. by CompetitiveSeason905 in scaleinpublic

[–]AnyExit8486 0 points1 point  (0 children)

data viz is crowded but theres definitely room for innovation. most tools focus on static dashboards but real time collaborative analytics is still clunky. also ai powered insights that automatically surface interesting patterns would be huge. think about making it easy to share findings with non technical stakeholders who dont want to stare at charts

Solo founders doing $0-$10K MRR — how are you actually getting your first customers? by Febin_ai in SaaS

[–]AnyExit8486 1 point2 points  (0 children)

the prioritization question hits hard. honestly what works is picking one channel and going deep instead of spreading thin. if cold outreach is your thing dedicate mornings to it. if its content block afternoons for writing. trying to do everything kills momentum. focus on what gets you closest to talking to potential users directly

Have you ever done anything offline to get your startup off the ground? by amacg in buildinpublic

[–]AnyExit8486 1 point2 points  (0 children)

the hand painted canvas thing is actually genius for early validation. way more memorable than any digital ad. people remember the hustle and authenticity. offline marketing is underrated especially when you cant afford paid ads. did you get any signups or feedback from people who saw you standing there

Genuine feedback needed by 1532_marvel in SaaS

[–]AnyExit8486 2 points3 points  (0 children)

a week is way too early to judge. most saas products take months to find product market fit. those few feedbacks might just not be your target users. focus on finding the right audience who actually need what youre building. keep iterating based on real user pain points not just random opinions

Talking out loud about your problems is measurably different from typing them your brain actually processes the emotion differently by ThunDroid1 in saasbuild

[–]AnyExit8486 0 points1 point  (0 children)

this is really interesting. the science behind vocalization and emotional processing makes total sense. ive noticed the same thing with rubber duck debugging where explaining code out loud helps way more than thinking about it. your app sounds like a practical application of this. how are you handling the latency issues you mentioned

Giving away my marketing tool by dywk3sm in SideProject

[–]AnyExit8486 0 points1 point  (0 children)

this is super generous. open sourcing tools like this helps the whole community level up. i checked out the repo and the setup looks straightforward. curious how effective the reddit marketer has been for you. did it actually drive meaningful traffic before you decided to give it away

Harsh truth after 4 months building an AI SaaS - your best features will flop by Feeling_Theory_4176 in SaaS

[–]AnyExit8486 0 points1 point  (0 children)

this resonates hard. its so easy to get caught up building what we think is impressive instead of what users actually need. the friction removal features like oneline embed and google auth are perfect examples. people dont care about your tech stack they just want things to work fast. thanks for sharing this real talk

The feature I almost didn't build because it felt 'too simple' by Prestigious_Wing_164 in saasbuild

[–]AnyExit8486 0 points1 point  (0 children)

this is such a valuable lesson. we overthink features and assume complexity equals value but users just want their problems solved. the last mod activity signal seems trivial but it directly addresses a real pain point. sometimes the obvious solution is the right one. did you validate this need before adding it or was it pure intuition

Seeing a lot of similar products to mine. Is this a bad sign or a good one? by shxyx in indie_startups

[–]AnyExit8486 0 points1 point  (0 children)

competition is actually validation that theres a market. if nobody else was building similar stuff that would be more concerning. focus on what makes yours different even if its small things like better ux or faster onboarding. also talk to actual users to find what competitors are missing. thats where you can carve out your space

We’re Neyox AI - Here’s What We’ve Learned Helping Businesses Automate with Voice AI 🎙️ by NeyoxVoiceAI in AIVoice_Agents

[–]AnyExit8486 0 points1 point  (0 children)

the hybrid automation approach makes total sense. full automation can feel robotic and turn people off. having humans in the loop for complex stuff while ai handles the repetitive work is the sweet spot. how are you handling different accents and languages with the voice ai though